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- Carl Ferrarres (all catfish species project, systematist)
- Dan Graf (Philadelphia) bivalves, systematics
- Mike Catarino (SB, California beetles) (Ronald persona)
- nomenclature, phylogeographic,
- Paul Valence Scott (Santa Barbara, marine bivalves)
- Jim Beach, Laura Downey, Nico Franz, Xianhua Liu, Bob Peet, Jessie Kennedy, Martin Graham, Robert Gales, Susan Gauch, Aimee Stewart
Functions to implement (SeekTaxonTools)
1. TCS creation function
- create TCS from user input data
2. Viewing in multiple ways (for scientists/policy makers too)
- Interactive function for viewing existing matching concepts and decision making
3. Visualization Function (Small scale)
- Filter by different attributes, View and edit info in TOS in different manners
4. Multi-classification Visualization function (Large scale down to small)
- Several trees - see multiple matching concepts from a query within their classification trees
5. EML taxonomic data creation - function to create whatever EML group decides upon (EML group)
6. Other Schema to TCS mapping (behind the scenes)
7. Merge datasets (later)
- need input from SEEK
- unified concepts for 2 datasets containing taxa that can be analyzed together
- important, but later, many issues
8. Peer Review function (low priority)
- Way to filter for UNPUBLISHED data in the TOS for particular user/editor community
- Use visualization function
- Only one concept for a group of similar concepts with different forms of author string, etc, should have an LSID. Algorithms should resolve concepts to longest form.
- Community ecologist
- Taxonomic expertise in particular taxa in geographic region
- keep track of community
- use taxonomic data available to improve classification of community
- capture info
- datasets persist over time for monitoring and consistency in treatment
- data compatible with similar efforts in other geo areas
- ITIS is not useful, concept and how it was developed is wrong
- currently looking at data just at face value, names only
- looking at old data, changes over tiime
- Sharing, integration of data, names, is that a problem? - yes, it's our job
- If can determine relationships b/w different uses of a name, will correct
- Distinguish between nomenclature and usage
- JK - how do you separate names vs meaning?
- lots of times concepts introduced in papers, with no name attached
- a name with no author string can be assumed to be the original concept
- poorly annotated names cannot be resolved - won't bother
- Need a collaborative tool to look at differences of opinion over time - literature, images, type specimens
- Don't care to document geographic and typological? changes of concepts over time - provide the references for those who are interested in this. Perhaps JK is overestimating the importance of this historical information
- Paradox - want all the info, synonymies, etc available, but also want a single, simple list
- Who is going to populate this database?
- Bob - start fresh, with new info (ask about his point here)
- don't give too much authority to "online", this data is transient, don't confuse with archived data
- Dan - revisions of his species are just reshuffling, table of valid species, maintain separate family, genus, species, Fritz Haas and Simpson, http://mussel-project.net
 , valid species assoc with an author, attached to nomen,
- Paul would like our tools to not only handle quagmire of legacy data, but help us go forward
- Brian Fisher - ants in Madagascar - several kilos of ants every month for 7 years - very few identifications completed. Now can objectively identify from DNA overnight.
Wed 16 Feb 2005
- P1 Taxonomists
- P2 Aggregators
- P3 Publishers
- Amateur taxonomists
- Scientists/ecologists
- E1 Ecologists creating datasets
- E2 Ecologists trying to answer broad-scale global questions
- E3 Scientists trying to help policy makers make decisions
- Public
- Government decision makers
1. Populate database
- harvest
- P1/E2 help relate concepts
- First 4 functions above
- Tasks
- add known concepts
- create new concepts
- relate existing concepts
- Want old datasets, old treatments/classifications of bats
- Has mappings (digital format) b/w names as in Wilson/Reeder with valid names 1993
- some geographic ranges - difficult with past names
- will find out what others do wrt identifying species from old data
- Nico: want to track species naming for a group back to Linneaus (she laughs)
- Interesting: Pipistrellus genus, red bat, Molossidae
- Our plan:
- Get data from Kate
- See what is missing
- How can we make it easy for her to enter missing links
- different type of migration
- insectivors
- ecological issues
- Minimal interaction - SMS is client of TOS - Shawn & Thau's ant demo showed problems
- They were modeling for ants - species is an instance of a class in OWL
- Info to be resolved can be done with database approach, difficult to scale up
- observations spread over thousands of species - in their approach load everything into memory
- If they contact server for each species, lots of overhead
- Matt thinks lots of overlap - Taxon is special case of SMS
- Susan - Overhead dealt with by resolving datasets ahead of time and stored/indexed
- Data integration - can't easily be done ahead of time
- We are further along with working system than SMS, so that may hamper integration
- Email SMS asking for OWL format for Taxon info
- JK: Where do we fit in?
- Niche modeling - search ecogrid for species occurrence data with name/species/concept overlaps
- Looking for name - may look for something precise or loosely defined
- Look for any number of taxa and return clustered groups of consistent taxa
- Want non-overlapping list of concepts for modeling?
- N-way mapping of concepts
- for mammals of NA, mammals w/in bounding box - list
- every item should represent single concept
- drag each item on canvas and user decides whether to use for analysis
- BEAM proposal that Nico sent out is good description of SEEK needs from Taxon
- Digir data - may need private aggreement to use collector/date though not expose
- BEAM think about scenarios useful to Taxon
- Niche modeling case study (mostly museum data)
- Biodiversity case study (more ecological data) - is there documentation? Not yet
- Domain experts?
- Maybe Rob or Aimee go to KR/SMS/BEAM mtg - 7-10 March at UC Davis
- Engage SMS group before May
- ex: OWL output for Taxon info - get someone with more ecological background involved as well - Mark, Deana, Matt
- Next time we contact Shawn, ask Matt to join us
- EML - taxonomic metadata needs to be present, but usually in the data itself
- now, 3 distinct locations in EML, entire thing should be revisited
- relationship b/w EML and Biological Data Profile (BDP) FGDC data standards
- Brief progress reports
- Kansas – Beach
- Napier – Kennedy
- Kansas – Stewart
- Chapel Hill – Peet
- Kansas – Gauch
- Discussion of usability and design - Downey
- Overview of proposed tools; we have done this before, but only over the phone and not with our usability expert present.
- III. Concept/Relationship/Status Exploration Tool
- IV. Multi-Classification Visualization Tool (optional)
- Proposals for Revision in the TCS/TES – Peet & Kennedy
- Interaction with TDWG & LC – Franz & Kennedy
- V. Concept/Relationship/Status Creation Tool
- II. Batch-Data Import Tool (optional)
- Case studies & datasets – Schildhauer & Franz
- North American Mammals in general
- Bats
- North American plants
- SEEK perspective; wikipedia approach – Peet
- VI. Taxonomic Proposal & Review Tool
- VIII. Concept Mark-Up Tool (optional)
- Institutionalization – Beach
- KU & NCEAS
- ITIS
- USDA
- GBIF
- Euro-Med
- Future Meetings – Beach
- Estes Park
- TDWG
- SEEK – November
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